A New Method for Privacy-Preserving Data Mining Based on Weighted Singular Value Decomposition

Privacy protection is indispensable in data mining, and many Privacy-Preserving Data Mining (PPDM) methods have been proposed. One such method is based on Singular Value Decomposition (SVD), which uses SVD to analyze and to perturb the original data and open the modified data to users instead of the original data. In the SVD-based method, all data samples are treated equally. However, because different samples do not hold the same importance for data mining, it is better to pay more attention to the important samples.